Latest Articles for Language Processing

Methods to enhance translation quality in large language models.

mOSCAR provides a multilingual dataset for improved AI understanding of text and images.

A new approach enhances translation quality by teaching models to reflect on their outputs.

This article investigates gender bias in language models used for depression evaluation.

Learn how preference feedback shapes better language model outputs.

A study on neuron activation across languages and tasks in multilingual models.

New test CoTempQA improves understanding of events in language models.

A new benchmark for evaluating AI-generated text detection methods.

Investigating how LLM predictions align with human choices using statistical modeling.

A new benchmark to assess cultural knowledge in language models across diverse cultures.

SynAsk merges large language models with chemistry tools for precise information.

A study evaluates language models on handling multiple tasks simultaneously.

A dataset to test language models' grasp of wording differences.

A study on large language models' performance in word grouping challenges.

A fresh method for testing language model safety and multilingual skills.

This study assesses how well language models understand social situations using a game.

This article analyzes how language models understand and infer causal relationships.

Learn how transcoders help clarify complex language models.

A new framework helps language models learn symbolic language without human input.

Examining how cultural bias affects AI image understanding.

A study assessing cultural biases in popular language models.

New methods reveal challenges in unlearning knowledge from language models.

Evaluating how language models handle cultural cues in real tasks.

Language agents are becoming more adaptable, improving their communication and problem-solving skills.

Refiner improves language model responses by restructuring retrieved information.

A new method rewrites text for better understanding across different reading levels.

This study analyzes how language influences cultural values in large models.

SHiRA improves model switching efficiency in AI without losing key concepts.

Exploring the synergy between Foundation Models and Federated Learning for enhanced AI applications.

GLM-4 models show improved capabilities in language understanding and generation.

A new method improves machine translation for underrepresented languages.

MultiSocial dataset aids in detecting machine-generated texts across 22 languages.

This article reviews FS-GEN, combining large and small models for better outcomes.

Examining how prompts affect reasoning in large language models.

Examining how LLMs process reasoning tasks effectively.

Examining language model issues with less common languages and proposing evaluation methods.

A new system enhances accuracy and reliability in text generation from RALMs.

Examining changes in social biases in language models over time.

Discover how large language models are transforming simultaneous translation.

Examining the impact of data contamination on language model performance and evaluation.